Azure environment
Tenants, subscriptions, resource groups, regions, IaaS/PaaS/SaaS, networking basics, storage, cost control and enterprise naming.
Microsoft data training
Teach the team how the system should work, not just where the buttons are.
Good training changes how people model data, define metrics, build reports and work together. We teach Azure, SQL, Power BI and Power Platform through practical BI situations, not abstract tool tours.
Why training matters
Enterprise BI maturity is built in habits, not licenses.
Power BI and Azure adoption often starts fast, then slows down when teams disagree on models, measures, ownership, permissions, refresh logic or deployment. Training should create a common language for delivery, not just show where buttons are located.
Our programs combine tool knowledge with architecture thinking, governance, data modelling, report design and practical delivery habits.
Training modules
Build a curriculum around the exact maturity level of your team.
Modules can be delivered as a compact executive overview, analyst enablement, developer academy or a deeper end-to-end enterprise data program.
Azure data platform
SQL Server, Azure SQL Database, Managed Instance, Blob Storage, ADLS Gen2, relational and analytical storage, OLTP and OLAP patterns.
Data warehouse and lakehouse
Modern DWH concepts, medallion architecture, Synapse, Databricks, Microsoft Fabric positioning, scalability and cost-aware engineering.
ETL, ELT and orchestration
Azure Data Factory, pipelines, linked services, datasets, triggers, parameters, rerunability, monitoring and error handling.
Security and governance
Entra ID, RBAC, service principals, managed identities, Key Vault, permission hierarchy, auditability and data security patterns.
DevOps for data
Git versioning, Dev/Test/Prod separation, deployment strategy, Infrastructure as Code concepts and controlled release routines.
Power BI foundations
Desktop, Service, Gateway, Report Server, Power Query, data connections, report UX, dashboards, exports and self-service boundaries.
Advanced Power BI
Data model standards, DAX patterns, measure tables, thin reports, bookmarks, field parameters, apps, workspace governance and lifecycle.
Power Platform workflows
Power Apps, Power Automate and write-back process design for approvals, planning, data maintenance and operational feedback loops.
Learning formats
Different audiences need different depth.
Executive briefing
For leaders who need to understand platform choices, governance, cost drivers, AI readiness and enterprise BI strategy.
Analyst enablement
For business and analyst users building better reports, models, DAX measures and self-service practices.
Developer academy
For technical teams learning Azure data engineering, SQL, pipelines, semantic models, source control and maintainable delivery.
Project mentoring
For teams building a real BI solution with expert review, architecture guidance and practical coaching during delivery.
Outcome
After the course, teams should make better delivery decisions.
We do not treat training as isolated classroom time. The goal is to help your team understand how enterprise data, BI, visualization, workflow management, semantic models, data modelling and AI-ready analytics fit together.
Programs can be broad or role-specific, standard or fully custom. Pricing is scoped after we understand the audience, expected depth, format, language, environment and business outcomes.
Next step
Build a training plan around your team.
Tell us who needs training, what Microsoft tools are already in use and what business capability should improve first.